Show HN: Python package to collect normalized news from almost any website
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#5My approach has been, if we can't get neutral/objective coverage, getting comprehensive, 360 desgree coverage is a good alternative.
These days, news bias is not only in the way a story is covered, but also which stories are covered. So, maagnit automatically collects stories from the left and right.
Re: Show HN: Python package to collect normalized news from almost any website
#6Also, I was looking at https://newsapi.org. How does your python API compare? I see that in newsapi, it also get old articles; do you implement similar features?
Re: Show HN: Python package to collect normalized news from almost any website
#7For any news junkies heres, I've built https://maagnit.com which gathers both Left and Right leaning sources for any story and displays them altogether on one page. My approach has been, if we can't get neutral/objective coverage, getting comprehensive, 360 desgree coverage is a good alternative. These days, news bias is not only in the way a story is covered, but also which stories are covered. So, maagnit automatic…
Re: Show HN: Python package to collect normalized news from almost any website
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#10Hi looks interesting and useful! What's the differences between newscatcher (python) vs. newscatcherapi.com? Is there any limit on using newscatcher (python) as shown in the pricing pages? Also, I was looking at https://newsapi.org . How does your python API compare? I see that in newsapi, it also get old articles; do you implement similar features?
Newscatcher API is a product that allows you not only get the latest articles but also search by keywords, topic, country etc. Basically, the main feature is that you search for articles that contain a specific word or phrase. This can have an added value for professionals and companies. There will be a free plan for developers with limits and chargeable for more heavy usage.
Compare to newsapi, we are less expensive for the content. We will not be able to get old articles from today. We began to stock data couple at the release.
Hope I answered all of your questions.